Data Scientist - Contract GenAI

CVS Health

4d

About The Position

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary Applies Generative AI to optimize business operations Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions Explores, examines and interprets large volumes of data in various forms Performs analyses of structured and unstructured data to solve moderately complex business problems Utilizing advanced statistical techniques and mathematical analyses Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs Uses data visualization techniques to effectively communicate analytical results and support business decisions Creates and evaluates the data needs of assigned projects and assures the integrity of the data Explores existing data and recommends additional sources of data for improvements Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics

Requirements

• 1 -2+ years of relevant analytic experience
• Experience programming using R or Python
• Experience in SQL

Nice To Haves

• Demonstrates good written and verbal communication skills and a strong ability to communicate technical concepts and implications to business partners
• Effectively resolves problems and roadblocks as they occur
• Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
• Ability to work with large data sets from multiple data sources
• Experience working in at least 1 cloud environment
• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master's degree preferred

Responsibilities

• Applies Generative AI to optimize business operations
• Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Explores, examines and interprets large volumes of data in various forms
• Performs analyses of structured and unstructured data to solve moderately complex business problems Utilizing advanced statistical techniques and mathematical analyses
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
• Uses data visualization techniques to effectively communicate analytical results and support business decisions
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data
• Explores existing data and recommends additional sources of data for improvements
• Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees